Dataset Information

Treatment evolution and improved survival in multiple myeloma in Taiwan.

ABSTRACT: The incidence of multiple myeloma (MM) is increasing worldwide, but the rate of increase is greatest in Asia. Few data describe the epidemiology and treatment of MM in Asia. Building on a cohort study from 2007 to 2012 using the Taiwan National Healthcare Insurance Research database, we extended our analysis to estimate the disease burden and treatment patterns of patients with MM in Taiwan through 2015. A further 1664 patients with newly diagnosed MM from 2013 to 2015 (total 4387 patients from 2007 to 2015) were enrolled and followed up until death or end of the observation period (December 31, 2016), whichever occurred first. The age distribution of the 2013-2015 cohort was similar to that for previous years, but there were fewer men (52.1% versus 58.0%), and more patients had renal impairment at diagnosis (19.7% versus 16.4%). From 2007 to 2015, crude annual incidences per 100,000 population of newly diagnosed MM increased from 1.74 to 2.48 and age-adjusted incidences from 1.41 to 1.65. Crude all-cause mortality rates increased over time. Case fatality decreased from 25.5 to 18.3% and median survival increased from 2.10 to 3.12 years. From 2007 to 2015, the percentage of patients receiving first-line therapy with novel agents increased from 0.4 to 89.4%, autologous stem cell transplantation doubled, and chemotherapy use decreased by 81%. Comprehensive national data covering 9 years of follow-up demonstrate continuing change in the disease burden, treatment, and survival of MM in Taiwan. Despite increased use of new treatments, MM remains largely incurable.

SUBMITTER: Tang CH

PROVIDER: S-EPMC6976543 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Treatment evolution and improved survival in multiple myeloma in Taiwan.

Tang Chao-Hsiun CH Hou Hsin-An HA Huang Kuan-Chih KC Qiu Hong H Liu Yanfang Y

Annals of hematology 20191205 2

The incidence of multiple myeloma (MM) is increasing worldwide, but the rate of increase is greatest in Asia. Few data describe the epidemiology and treatment of MM in Asia. Building on a cohort study from 2007 to 2012 using the Taiwan National Healthcare Insurance Research database, we extended our analysis to estimate the disease burden and treatment patterns of patients with MM in Taiwan through 2015. A further 1664 patients with newly diagnosed MM from 2013 to 2015 (total 4387 patients from ...[more]

PMID: 31802187

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Project description:BackgroundRandomized controlled trials (RCTs) are considered the gold standard for assessing the efficacy of new treatments compared to standard treatments. However, the reasoning behind treatment selection in RCTs is often unclear. Here, we focus on a cohort of RCTs in multiple myeloma (MM) to understand the patterns of competing treatment selections.MethodsWe used social network analysis (SNA) to study relationships between treatment regimens in MM RCTs and to examine the topology of RCT treatment networks. All trials considering induction or autologous stem cell transplant among patients with MM were eligible for our analysis. Medline and abstracts from the annual proceedings of the American Society of Hematology and American Society for Clinical Oncology, as well as all references from relevant publications were searched. We extracted data on treatment regimens, year of publication, funding type, and number of patients enrolled. The SNA metrics used are related to node and network level centrality and to node positioning characterization.Results135 RCTs enrolling a total of 36,869 patients were included. The density of the RCT network was low indicating little cohesion among treatments. Network Betweenness was also low signifying that the network does not facilitate exchange of information. The maximum geodesic distance was equal to 4, indicating that all connected treatments could reach each other in four "steps" within the same pathway of development. The distance between many important treatment regimens was greater than 1, indicating that no RCTs have compared these regimens.ConclusionOur findings show that research programs in myeloma, which is a relatively small field, are surprisingly decentralized with a lack of connectivity among various research pathways. As a result there is much crucial research left unexplored. Using SNA to visually and analytically examine treatment networks prior to designing a clinical trial can lead to better designed studies.

Dataset Information

Treatment evolution and improved survival in multiple myeloma in Taiwan.

Publications

Treatment evolution and improved survival in multiple myeloma in Taiwan.

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